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Machine Learning Ai Intern Jobs in Georgia (NOW HIRING)

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business ...

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Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

Machine Learning Ai Intern jobs near you
Machine Learning / AI Engineer

Machine Learning / AI Engineer

KellyMitchell Group

Atlanta, GA

$65 - $75/hr

Other

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Job Summary
Our client is seeking a Machine Learning / AI Engineer to design, build, and operate production-grade ML systems that drive real business impact with our client. In this role, you will own the full model lifecycle-from problem framing and data engineering through training, deployment, and ongoing monitoring-while collaborating closely with product, data engineering, and software teams.
You will be expected to communicate complex trade-offs clearly to both technical and non-technical stakeholders and champion responsible AI practices across the organization.
Core Responsibilities
  • Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data
  • Build and iterate on models using classification, regression, ranking, clustering, anomaly detection, and NLP approaches
  • Perform feature engineering, dataset creation, labeling strategies, and model evaluation with scientific rigor
  • Implement model interpretability, bias assessment, and responsible AI techniques where applicable
  • Build production-grade ML services and pipelines (batch + real-time), ensuring performance, reliability, and maintainability
  • Deploy models to cloud environments using CI/CD and infrastructure-as-code best practices
  • Implement monitoring for data drift, model drift, latency, throughput, cost, and model quality
  • Maintain versioning for datasets, features, models, and experiments to ensure repeatability and governance
  • Collaborate with data engineering to create robust data pipelines and ensure data quality
  • Integrate ML models into applications through APIs, event streams, or workflow orchestration
  • Document architecture, operational runbooks, and model cards; participate in design reviews and knowledge sharing
Required Skills/Experience (Must-Haves)
  • 4+ years building and integrating APIs (FastAPI / Flask) and 3rd-party API integrations
  • 3+ years (Mid) / 5+ years (Senior) shipping ML systems into production-not just notebooks
  • Strong Python skills and hands-on experience with ML libraries: scikit-learn, PyTorch, TensorFlow, XGBoost
  • Data processing and analytics with Pandas, NumPy, SQL, and Spark
  • Solid ML fundamentals: bias/variance trade-offs, evaluation metrics, cross-validation, feature engineering, error analysis
  • Containerization with Docker and CI/CD pipeline management
  • Version control with Git / GitHub / GitLab
  • Strong SQL skills (SQL Server or Oracle)
  • Scripting in Python, Bash, and/or PowerShell
  • Ability to communicate trade-offs and results clearly to both technical and non-technical stakeholders
  • Experience documenting architecture, model cards, and operational runbooks
  • Cross-functional collaboration in Agile / DevOps environments
Preferred Skills/Experience (Nice-to-Haves)
  • Experience with workflow automation tools and orchestration platforms
  • Background in highly regulated or financial services environments
  • Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Knowledge of Disaster Recovery / Business Continuity Planning processes
Key Competencies & Behaviors
  • Ownership and Accountability
  • Collaborative Communication
  • Scientific and Responsible Decision-Making
Work Environment
  • Location: Atlanta, GA
  • Collaborative, cross-functional environment spanning data engineering, software, and product teams
  • Fast-paced financial services setting with emphasis on ML governance and responsible AI
Compensation & Benefits
  • Pay Range: The approximate pay range for this position is between $65.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
  • Medical, Dental, & Vision Insurance Plans
  • Employee-Owned Profit Sharing (ESOP)
  • 401K offered
About KellyMitchell
At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy

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